🏆 Top Rated Plus As a Top Rated Data Scientist and AI/ML & Workflow Automation Specialist with 7 years of experiecne , I specialize in Natural Language Processing (NLP), Data Analysis, Image Processing, Predictive Modeling, Web Scraping, ETL, EDA, Database Migration, Pipeline, Devops, CI/CD Pipeline, Frontend and Backend development. I am a dedicated Data Scientist with a strong background in Machine Learning and Artificial Intelligence. With expertise in Python and R programming languages, I specialize in developing intelligent models and algorithms to extract insights and solve complex business problems. My passion for data science combined with my experience in advanced analytics and AI enables me to deliver valuable solutions that drive data-driven decision making and yield measurable results for clients. Core Technologies: 1. Cloud-based platforms (AWS, Azure, Google Cloud): Utilize cloud infrastructure for scalability and flexibility in data processing and storage. 2. ETL processes and data integration (Snowflake Warehouse, BigQuery): Efficiently extract, transform, and load data from various sources into a centralized data warehouse. 3. Data Cleaning, Preprocessing, and Feature Engineering: Ensure data quality and extract meaningful features for analysis and modeling. 4. Natural Language Processing (NLP): Leverage text classification, sentiment analysis, named entity recognition, and topic modeling to extract insights from unstructured text data. 5. Python (NLTK, spaCy, Gensim, Stanford CoreNLP, BERT, WordNet, TensorFlow, Keras, PyTorch, OpenCV, ComputerVision, Hugging Face Transformers, Scikit-learn): Utilize a powerful programming language for data analysis, machine learning, and computer vision tasks. 6. R (Tidyverse, Caret, text mining packages): Leverage a statistical programming language for data analysis and modeling. 7. SQL and Database Management: Manage and query structured data in databases using SQL. 8. Exploratory Data Analysis (EDA) and Data Visualization: Explore and visualize data to gain insights and identify trends. 9. Predictive Modeling - Regression, Classification, Time Series Forecasting: Apply statistical and machine learning models to predict future outcomes. 10. Image Processing - Object Detection, Image Recognition, Image Segmentation: Extract insights and patterns from image data using computer vision techniques. 11. Web Scraping (BeautifulSoup, Selenium, Scrapy, Puppeteer, Octoparse, ParseHub, Apify): Automate data collection from websites using web scraping tools. 12. Full-stack development with proficiency in both front-end and back-end technologies: Develop end-to-end web applications with proficiency in both front-end and back-end technologies. 13. Statistical Analysis and Hypothesis Testing: Apply statistical methods to test hypotheses and draw conclusions from data. 14. Data Visualization Libraries (Matplotlib, Seaborn, Plotly, ggplot (ggplot2), Tableau): Visualize data using powerful and flexible libraries. Thank you for considering my portfolio!

I've built AI systems that process 100,000 calls a day, NLP models used in cancer treatment planning, conversational AI deployed across enterprise voice and text channels, and agentic workflows running inside Fortune 500 operations. I'm Dr. Omer, PhD from the University of Waterloo, and formerly Senior Director of AI R&D at Afiniti, a global enterprise AI company whose outcome orchestration platform serves Fortune 500 clients across Telco, Financial Services, and Healthcare. That background shapes how I approach every project: I ask whether this is the right AI architecture for the real business problem, not just the most popular framework at the moment. Production AI systems I've built and led: 🎯 Afiniti Enterprise Contact Center AI — As Senior Director of AI R&D, led development of Afiniti's AI product suite: behavioral pairing systems matching agents to customers in real time, outcome orchestration engines, and intelligent automation deployed across Fortune 500 contact centers globally in Telco, FinTech, and Healthcare 🎯 Automated AI Evaluation at Scale — Etisalat / PTCL — Designed and deployed an AI-based near real-time contact center evaluation system processing 100,000+ calls per day — replacing manual QA at scale for one of the region's largest telecom operators (Etisalat holds a 26% stake in PTCL) 🎯 Conversational AI Systems — Built end-to-end conversational AI pipelines for enterprise clients across voice and text channels, covering multi-turn dialogue management, intent recognition, LLM-based response generation, and integration with CRM and ticketing systems 🎯 NLP Models for Cancer Treatment Planning — Developed NLP models supporting clinical oncology workflows — applied NLP at the intersection of language understanding and life-critical treatment decisions Where I'm most useful: → You're building an LLM-powered product and need the architecture designed before your team writes a line of code → You need a RAG system or AI chatbot that handles real user behavior — not just curated demos → You want n8n, Make, or Zapier automation connected intelligently to LLM workflows → Your contact center, healthcare, or operations team generates high-volume data that AI should be processing automatically → You need a senior technical opinion on AI architecture, model selection, or agentic system design What I build: ✅ LLM Application Development — GPT-4o, Claude, LLaMA, Mistral, Gemini, Ollama ✅ AI Chatbot Development — customer support bots, lead qualification bots, internal knowledge bots ✅ Conversational AI — multi-turn dialogue, intent recognition, slot filling, voice + text channels ✅ RAG Pipelines & Knowledge Systems — vector store design, chunking strategy, hybrid retrieval, evaluation ✅ Agentic AI & Multi-Agent Systems — LangGraph, CrewAI, AutoGen, tool-use agents, OpenClaw ✅ Workflow Automation — n8n, Make, Zapier, AI-connected automation pipelines ✅ Voice AI & Speech Systems — Vapi, Retell AI, Whisper, Deepgram, ElevenLabs, STT/TTS pipelines ✅ NLP Systems — text classification, NER, keyphrase extraction, summarization, clinical NLP ✅ Document AI — intelligent document processing, extraction pipelines, unstructured data handling ✅ Contact Center AI — automated call scoring, behavioral modeling, real-time agent assistance ✅ Healthcare AI — clinical document processing, treatment decision support, medical NER ✅ Fine-tuning & Optimization — LoRA, QLoRA, RLHF, DPO, prompt optimization, model evaluation Tech stack: LLMs & Agent Frameworks: GPT-4o · Claude API · LLaMA 3 · Mistral · Gemini · Ollama · LangChain · LangGraph · LlamaIndex · DSPy · HuggingFace Transformers · CrewAI · AutoGen · OpenClaw · Semantic Kernel Automation & Workflow: n8n · Make (Integromat) · Zapier · Webhook integrations · API orchestration · event-driven pipelines NLP & ML: PyTorch · TensorFlow · SpaCy · NLTK · Scikit-learn · Sentence Transformers · BERT · T5 · Whisper · OpenCV Voice & Conversational AI: Vapi · Retell AI · Whisper · Deepgram · ElevenLabs · Amazon Polly · RASA · Botpress · STT/TTS RAG & Vector Databases: Pinecone · Weaviate · ChromaDB · pgvector · FAISS · Qdrant · Milvus Fine-tuning & Evaluation: LoRA · QLoRA · RLHF · DPO · Axolotl · Unsloth · LangSmith · MLflow · RAGAS · TruLens Deployment & Infrastructure: Python · FastAPI · Flask · Docker · Kubernetes · AWS (SageMaker · Lambda · EC2) · GCP Vertex AI · Azure ML · Prometheus · Grafana [AI Engineer · AI Developer · LLM Developer · NLP Engineer · AI Consultant · Agentic AI · AI Agent Developer · LangChain Developer · LangGraph · RAG Developer · Retrieval Augmented Generation · AI Chatbot Developer · Conversational AI · Chatbot Development · AI Automation · Workflow Automation · n8n · n8n Developer · Make Automation · Zapier Integration · OpenClaw · OpenClaw Developer · Voice AI · Voice Agent · Contact Center AI · Healthcare AI }

I’m an AI/ML Engineer with deep expertise in Python, NLP, LLM integration, and intelligent AI solutions. I design and deploy AI-powered systems such as custom chatbots, multi-agent frameworks, RAG knowledge platforms, and automated workflows that help businesses transform data into actionable insights, automate complex tasks, and improve operational efficiency. I’m experienced in AI agent orchestration, conversational AI, NLP analytics, predictive modeling, recommendation engines, and end-to-end machine learning pipelines. I also specialize in workflow automation using n8n, Make, Zapier, GoHighLevel, and Python scripts for data processing, API integrations, and AI model deployment. Services I Offer: - LLM Integration with advanced models like OpenAI, Claude, Gemini, and Deepseek - RAG Systems & Knowledge Graphs for actionable insights - AI Agents & Multi-Agent Systems for automation and decision-making - Custom Chatbots & Conversational AI for websites, apps, and support - NLP & Text Analytics: summarization, sentiment analysis, entity recognition Workflow & Automation - Workflow Automation Platforms: n8n, Make, Zapier, GoHighLevel - Python Automation: scripts, pipelines, API integrations, scheduling - Data Expertise: preprocessing, feature engineering, model deployment - Python Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain Why Clients Choose Me: ✅ Scalable, production-ready AI solutions ✅ Cross-domain expertise: AI + Data + Automation ✅ Fast delivery with maintainable, high-quality code ✅ Clear, proactive communication and strategic guidance 💬 Let’s build AI systems that solve real problems, automate your workflows, and deliver measurable results.

I am Naresh, co-founder of Amenity Technologies, a company that specializes in assisting companies with AI/ML and Data Science & Analytics. I provide end-to-end AI consultancy. I'm a senior computer vision and machine learning engineer with vast experience in full-stack development, AR/VR, and robotics. with more than 8.5+ years of expertise working with businesses to produce creative initiatives that will bring value to their projects based on innovation. The following is a list of the technologies I employ daily when I code: ✅ N8N automation for restaurants calling bot, voice calling bot for Real Estate clients, sales team training voice bot. ✅ AI Agents: Implemented Agentic workflow with LLMs, SLMs, RAGs, Agentic RAG, LangFuse. ✅ LLMs: AI based Marketing Journey Crerator, Document Parsing, FAQ bot, RAG systems with Open AI and without Open AI also on our own could. Have used LLMs like DeepSeek, LAMA, Minstrel, Hugging Face etc. ✅ Fullstack: Python, C++, Django, Flask, JS, React, NodeJS, Typescript, Docker, Kubernetes ✅ ML/DL: Mediapipe, Pytorch/Keras, Transformers, RasaNLP, SparkML, SparkNLP, LGBM, and many others ✅ Computer Vision: OpenCV, Open3D, PCL, VisualSLAM, OpenMVG, FFMPEG, and more ✅ Cloud solutions: Cloud Compute, Vertex AI, Cloud SQL, Cloud Functions, AWS ✅ We have created Algo trading bot for Indian stock market. The cases I work with: ✅ Machine Learning & AI: - Algorithms like KNN, K-MEAN, DBSCAN, MEAN SHIFT - Data cleaning, filling in missing values & selecting the best features - Prediction models which use logistic & linear regression, Decision Tree, Random Forest, Naive Bayes, SVM - Graphical analysis via matplotlib ✅ Deep Learning & AI: - Image Classification via CNN, GoogLeNet, VGGNet, ResNet - Object Detection via F-RCNN, YOLO, SSD, R-FCN - Object tracking via SAE and CNN, FCNT, MDNET - Semantic Segmentation via DeepLab, RefineNet - Instance Segmentation via Mask RCNN - 3D Object Segmentation and Detection - 3D Reconstruction ✅ Data Science & Analytics: -Data wrangling -Data Wrangling via Pandas, NumPy, Scikit-learn -Data Visualization via Matplotlib, Seaborn, Plotly -Statistical Analysis via SciPy, Statsmodels, PyMC3 -Machine learning -Machine Learning via Scikit-learn, TensorFlow, PyTorch -Natural language processing -Natural Language Processing via NLTK, SpaCy, Gensim -Recommender system -Recommender Systems via Surprise, LightFM, Implicit -Big data -Big Data via Spark, Hadoop, Dask ✅ NLP & AI: - Sentiment Analysis - Sentence segmentation - Named Entity Recognition - Auto punctuation - Converting unstructured data into structured data - POS tagging ✅ IoT & Cloud: - Lambda in AWS, Alexa Skill Development - Raspberry Pi, Nvidia Jetson Nano, Arduino, Banana Pi, Intel Movidius - Android app for IoT and cloud - Custom Google Assistant and Alexa - Smart Home Shoot me a message if you got an idea, I am here to bring it to life!

Hi, I’m a dedicated full-stack developer and AI specialist with extensive experience in building scalable, high performance web applications and intelligent solutions. I leverage cutting-edge technologies like Python, Django, FastApi, React, and AI / ML frameworks to deliver results that drive business growth. Whether you need a custom website, AI powered automation, or data driven insights, I’m here to turn your ideas into reality with clean code and industry best practices. My Services ☑️ Custom Web Development: Build modern, responsive websites and applications using Python (Django, FastAPI, Flask), JavaScript/TypeScript (Node.js, Express.js), React.js, Next.js, and Vue.js. ☑️ AI & Machine Learning: Integrate intelligent features like AI chatbots, voice agents, recommendation systems, and predictive analytics with OpenAI, Claude, TensorFlow, PyTorch, and Langchain. ☑️ Web Scraping & Data Extraction: Ethically gather actionable data using Scrapy, BeautifulSoup, Playwright, and Selenium for business intelligence. ☑️ Full-Stack Development: Create end-to-end solutions with intuitive front-ends (React, MaterialUI, Bootstrap) and optimized back-ends (Django, Node.js) connected to PostgreSQL, MySQL, MongoDB, or SQLite. ☑️ DevOps & Cloud: Deploy scalable applications on AWS, Google Cloud, Heroku, or Digital Ocean using Docker and CI/CD pipelines. ☑️ Third-Party Integrations: Seamlessly connect your app with Stripe, PayPal, Twilio, Google Suite, Meta APIs, Zoom, Slack, and more. What I Offer: 💻 Back-End - Python: Django, Django Rest Framework, Flask, FastAPI - JavaScript/TypeScript: Node.js, Express.js - Tools: WebSockets, Webhooks, REST APIs, Docker, CI/CD 🌐 Front-End - Frameworks: React.js, Next.js, Vue.js, Redux - Styling: HTML, CSS, Bootstrap, MaterialUI, NextUI - Scripting: JavaScript, jQuery 🤖 AI & Machine Learning - AI Tools: OpenAI, ChatGPT, Claude, Pinecone, Redis, Langchain, Twilio - Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV - NLP: NLTK, spaCy - Data Tools: Pandas, NumPy, Matplotlib, Seaborn - Focus Areas: Machine Learning, Deep Learning, Predictive Models 🗄️ Databases - PostgreSQL, MySQL, SQL Server, MongoDB, SQLite ☁️ DevOps & Cloud - AWS (EC2, S3, RDS, CloudFront), Google Cloud Platform, Heroku, Digital Ocean 🔗 Third-Party Integrations - LLMs: OpenAI, ChatGPT, Claude, Gemini - Payments: Stripe, PayPal, Square - Communication: Twilio, Zoom, Slack - Social Media: Meta (Facebook, Messenger, WhatsApp, Instagram), Twitter API, Reddit - Productivity: Google Suite, Asana 🛠️ Collaboration Tools - Version Control: Git (GitHub, GitLab) - Project Management: Jira, Asana, Trello Why Me? ☑️ End-to-End Solutions: From pixel-perfect front-ends to robust back-ends and AI integrations, I deliver seamless, scalable applications. ☑️ AI & ML Expertise: Power your projects with smart features like chatbots, predictive models, and automation using OpenAI, TensorFlow, and Langchain. ☑️ Client-Centric Approach: Clear communication, on-time delivery, and tailored solutions to meet your unique needs. ☑️ Proven Skills: Expertise in Python, JavaScript, React, FastAPI, AWS, and more, backed by a strong portfolio. Let’s Build Something Amazing! I’m passionate about delivering high-quality, innovative solutions that exceed expectations. Ready to elevate your project? Message me today to discuss your needs, and let’s create something extraordinary together!

✔ Artificial Intelligence (AI) & Machine Learning (ML) ✔ Generative AI – LLMs, LangChain, RAG, Prompt Engineering ✔ Deep Learning & NLP – Transformers, Hugging Face, spaCy, OpenAI API ✔ Python Ecosystem – TensorFlow, PyTorch, Scikit-learn, FastAPI ✔ Cloud & MLOps – AWS, GCP, Azure, Docker, Kubernetes, CI/CD ✔ Vector Databases – Pinecone, FAISS, Weaviate, Milvus I’m a Senior AI Engineer with rich experience delivering intelligent, production-ready solutions. My strength lies in bridging cutting-edge AI research with real-world engineering, ensuring models don’t just work in theory but run seamlessly in your applications.

I'm a Full-Stack Developer and AI Engineer with a strong track record of building scalable web applications and intelligent AI-driven systems. I specialize in end-to-end development—from interactive frontends and REST APIs to cutting-edge LLM-based chatbots, NLP pipelines, and voice-powered assistants. Whether you're launching a SaaS product, integrating AI into your platform, or building a real-time chatbot with streaming capabilities—I bring both deep technical expertise and a product-focused mindset. My Core Technical Skillset: ▸ Frontend: React, Angular, Vue, Next.js, Tailwind, Material UI, Bootdtrap ▸ Backend: Node.js (Express, Nest.js), Python (FastAPI, Flask), Django ▸ APIs: REST, GraphQL, WebSockets, OAuth, 3rd-party integrations ▸ Databases: PostgreSQL, MongoDB, Firebase, Redis, Supabase ▸ DevOps: Docker, GitHub Actions, AWS, Vercel, Netlify, Heroku ▸ GPT-based agents (GPT-4 Turbo, Claude, LLaMA, Mistral) ▸ RAG systems with LangChain, LangGraph, Pinecone, Weaviate ▸ Messaging platform integration: TG, Slack, WhatsAp-p, Discor-d ▸ Frontend deployment via React or Next.js + Vercel AI SDK ▸ NLP: spaCy, HuggingFace, OpenAI API ▸ Use cases: intent detection, Q&A, summarization, classification ▸ LLM fine-tuning, embeddings, sentiment analysis, vector search ▸ ML: scikit-learn, XGBoost, TensorFlow (for hybrid use cases) ▸ STT: Whisper, Deepgram, AssemblyAI ▸ TTS & Voice Cloning: ElevenLabs, PlayHT, Resemble.ai ▸ Voice UIs with WebRTC, socket.io, mic-enabled browsers ▸ Voice avatars: D-ID, Synthesia, HeyGen 🧩 What I Build ✔️ Scalable full-stack SaaS products with AI-enhanced workflows ✔️ AI-powered chatbots & virtual assistants with real-time voice interaction ✔️ Generative AI tools (text, code, content automation) ✔️ Voice-first applications & browser-based conversational agents ✔️ Internal knowledge assistants and intelligent RAG systems I bring the rare blend of a full-stack engineer who understands AI and can implement real-world applications that go beyond prototypes. Let’s build something exceptional!

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

Ansar is here, your experienced 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 and 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with over 5 years of hands on success building and deploying intelligent systems powered by 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, and 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈. have completed 50+ 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐋 projects across Healthcare, Finance, Education, SaaS, and E-commerce, helping businesses leverage 𝐋𝐋𝐌𝐬, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, and 𝐍𝐋𝐏 to drive 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 and real-world impact. My work bridges 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞, and 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 , combining 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐍𝐨𝐝𝐞𝐉𝐒, 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰, and 𝐏𝐲𝐓𝐨𝐫𝐜𝐡 to deliver complete 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 from data preprocessing and model optimization to deployment and scalable backend integration. 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝟏. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: AI-driven workflow automation to streamline processes and reduce manual tasks. 𝟐. 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈: Custom chatbots and virtual assistants using LLMs, NLP, RAG, ChatGPT, and Rasa. 𝟑. 𝐌𝐂𝐏 𝐂𝐥𝐢𝐞𝐧𝐭 & 𝐒𝐞𝐫𝐯𝐞𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Multi-agent and MCP-based architectures for tool orchestration and API workflows. 𝟒. 𝐒𝐦𝐚𝐥𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐒𝐋𝐌𝐬): Lightweight, fast, on-device AI models for offline assistants and real-time inference. 𝟓. 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐏𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Secure, scalable APIs and microservices connecting AI modules to production environments. 𝟔. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: ETL pipelines, dashboards, and analytics systems for actionable business insights. 𝟕. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐋𝐌𝐬: Fine-tuning, prompt engineering, RAG systems, LangChain, LangGraph, Hugging Face Transformers, GPT models. 𝟖. 𝐍𝐋𝐏 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬:Text classification, sentiment analysis, NER, summarization, and embedding-based search. 𝟗. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 : Predictive modeling, classification, regression, clustering, recommendation engines, anomaly detection. 𝟏𝟎. 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐎𝐂𝐑: Image analysis and document extraction using OpenCV, YOLO, Detectron2, AWS Textract. 𝟏𝟏. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: Autonomous decision-making, workflow automation, and AI orchestration. 𝟏𝟐. 𝐂𝐥𝐨𝐮𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐌𝐋𝐎𝐩𝐬: Deployment and scaling on AWS, Azure, GCP with Docker, Kubernetes, MLflow, Airflow, TensorBoard. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 & 𝐓𝐨𝐨𝐥𝐬 : Languages: Python, SQL, R, JavaScript Frameworks: TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph NLP: Hugging Face Transformers, SpaCy, NLTK Vision: OpenCV, YOLO, Detectron2 MLOps: Docker, Kubernetes, MLflow, Airflow Cloud: AWS, Google Cloud, Azure Data: Pandas, NumPy, Spark, Hadoop, Dask APIs: FastAPI, Flask, RESTful services Databases: MySQL, PostgreSQL, MongoDB, Firebase Version Control: GitHub, GitLab, Bitbucket 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 : • Strong technical expertise across AI, ML, NLP, LLMs, and automation • Clean, production-ready engineering practices • Clear communication and transparent progress updates • Proven experience delivering measurable business results • Ability to design scalable, modular architectures that grow with the product Are you looking to integrate AI-powered solutions into your business, deploy a custom chatbot, fine-tune an LLM, or build a full-stack AI app? Ready to get started? Book a consultation today or Message me, and let’s discuss your project today! Best Regards : Ansar Nseem #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI #NeuralNetworks #PredictiveModeling #DataScience #PythonAI #TensorFlow #PyTorch #NaturalLanguageProcessing #NLP #LLM #LargeLanguageModels #ChatGPT #PromptEngineering #AIChatbots #ConversationalAI #RAGSystems #ComputerVision #OCR #OpenCV #YOLO #AIAutomation #WorkflowAutomation #MultiAgentSystems #FullStackAI #PythonDevelopment #NodeJS #APIDevelopment #AIIntegrations #DataEngineering #DataAnalytics #BusinessIntelligence #ETLPipelines #CloudAI #AWS #Azure #GCP

I help enterprises and high-growth startups design and build production-grade AI systems that turn complex, fragmented data into accurate, context-aware intelligence. I offer a free 30-minute consultation to understand your use case, recommend the right architecture, and outline a scalable roadmap so you can make informed technical decisions before investing. Full Stack Developer, RAG chatbot & voice AI agent developer, I build LLM-powered systems using LangChain, VAPI, OpenAI & LangGraph that automate support, turn your private data into an intelligent assistant, and qualify leads 24/7. Startups to enterprise. I have helped businesses across Healthcare, Fintech, E-commerce, Legal & Real Estate cut manual workloads by 30–70%, handle 80%+ of support queries automatically, and launch production-ready AI SaaS products, not demos. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Reviews from past clients ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ "Rakesh says, A great experience working with a highly knowledgeable AI engineer with strong expertise in LLMs, automation, and scalable system design." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ "Loren thoughts, Mubashar sets the standard for what every Upwork freelancer should be, an expert in AI, LLMs, and intelligent automation. He combines transparent pricing with clear communication and strong accountability. He explains complex AI systems with clarity, designs structured solutions, and provides detailed architecture diagrams even before project kickoff. Professional, responsive, and never pushy, a rare combination." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Clients hire me when: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Their support team is overwhelmed I deploy RAG chatbots & voice AI agents that handle 80%+ of queries, 24/7, reducing support costs by up to 30% → Their data is locked in PDFs, docs & databases nobody can query I build RAG pipelines with LangChain, LlamaIndex & vector DBs (Pinecone, ChromaDB, Weaviate) that give accurate, cited answers from your private knowledge base → Their workflows waste hours every day I automate end-to-end with agentic AI, LangGraph, CrewAI, AutoGen, connected via n8n, Make & Zapier to your CRM, HubSpot, or GoHighLevel → They need a voice agent that actually sounds human I build inbound & outbound voice AI using VAPI + ElevenLabs + Whisper with sub-200ms latency, real conversations, not robotic IVR menus → They need an AI SaaS MVP fast I ship full-stack AI products in 4–6 weeks: multi-tenant architecture, Stripe billing, auth, CI/CD, and the AI layer, all production-grade ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ RAG Chatbots & AI Knowledge Assistants LangChain · LlamaIndex · Pinecone · ChromaDB · Weaviate · FAISS · Qdrant → 50+ RAG systems built · 10–15% accuracy gain over vanilla GPT ✅ Voice AI Agents (Inbound & Outbound) VAPI · ElevenLabs · Whisper · Twilio · Deepgram · Bland AI → Sub-200ms latency · booking, support & lead qualification agents ✅ Agentic AI & Multi-Agent Systems LangGraph · CrewAI · AutoGen · MCP (Model Context Protocol) → Autonomous agents that plan, reason & execute complex multi-step tasks ✅ LLM Integration & Fine-Tuning OpenAI GPT-4o · Claude · Gemini · LLaMA 3 · Mistral · DeepSeek → Custom LLM apps · prompt engineering · LoRA & QLoRA fine-tuning ✅ AI-Powered SaaS Development (MVP → Scale) FastAPI · Django · React · Next.js · PostgreSQL · Docker · AWS · GCP → Full-stack multi-tenant platforms with Stripe, auth & CI/CD ✅ AI Workflow Automation n8n · Make · Zapier · HubSpot · GoHighLevel · Salesforce → Connect your AI to every tool in your stack, no manual handoffs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗙𝗨𝗟𝗟 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AI/ML → Python · TensorFlow · PyTorch · Hugging Face · Scikit-learn LLMs → OpenAI API · Anthropic Claude · LangChain · LlamaIndex · LangGraph Voice → VAPI · ElevenLabs · Whisper · Deepgram · Twilio · WebRTC Backend → FastAPI · Django · Flask · Node.js · REST API · GraphQL Frontend → React · Next.js · TypeScript · TailwindCSS Cloud → AWS · GCP · Azure · Docker · Kubernetes · CI/CD DBs → PostgreSQL · MongoDB · Pinecone · Redis · Supabase · Weaviate · Qdrant 📩 Send me your use case, I'll reply within 24 hours with a scoped solution plan, tech recommendation & realistic timeline. Best regards, Mubashar Hussain